[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group NANR 136
April 1, 2020

Paper Group NANR 136

Variational Hyper RNN for Sequence Modeling. Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation. Unsupervised Out-of-Distribution Detection with Batch Normalization. Score and Lyrics-Free Singing Voice Generation. Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation. GENERALIZATIO …

Paper Group NANR 137

Paper Group NANR 137

April 1, 2020

Unsupervised Meta-Learning for Reinforcement Learning. Discrete InfoMax Codes for Meta-Learning. VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. Continual Deep Learning by Functional Regularisation of Memorable Past. Learning to Remember from a …
Paper Group NANR 138

Paper Group NANR 138

April 1, 2020

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING. Sample Efficient Policy Gradient Methods with Recursive Variance Reduction. Topological Autoencoders. Policy Optimization with Stochastic Mirror Descent. Generative Latent Flow. Neural Phrase-to-P …
Paper Group NANR 139

Paper Group NANR 139

April 1, 2020

Translation Between Waves, wave2wave. Deep Generative Classifier for Out-of-distribution Sample Detection. Lean Images for Geo-Localization. Differentiable Programming for Physical Simulation. IEG: Robust neural net training with severe label noises. Frequency Pooling: Shift-Equivalent and Anti-Aliasing Down Sampling. Effective Use of Variational E …
Paper Group NANR 14

Paper Group NANR 14

April 1, 2020

Phase Transitions for the Information Bottleneck in Representation Learning. DO-AutoEncoder: Learning and Intervening Bivariate Causal Mechanisms in Images. Task-Mediated Representation Learning. Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds. Learning Multi-facet Embeddings of Phrases and Sentences using Sparse Coding for U …
Paper Group NANR 140

Paper Group NANR 140

April 1, 2020

Learning Effective Exploration Strategies For Contextual Bandits. Efficient Content-Based Sparse Attention with Routing Transformers. On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. EINS: Long Short-Term Memory with Extrapolated Input Network Simplification. Improving Neural Language Generation with Spectrum Con …
Paper Group NANR 15

Paper Group NANR 15

April 1, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. Axial Attention in Multidimensional Transformers. Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling. Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients. Robust Subspace Recovery La …
Paper Group NANR 16

Paper Group NANR 16

April 1, 2020

Compressive Recovery Defense: A Defense Framework for $\ell_0, \ell_2$ and $\ell_\infty$ norm attacks.. Exploring Cellular Protein Localization Through Semantic Image Synthesis. Latent Variables on Spheres for Sampling and Inference. Sequence-level Intrinsic Exploration Model for Partially Observable Domains. Perceptual Regularization: Visualizing …
Paper Group NANR 17

Paper Group NANR 17

April 1, 2020

Logic and the 2-Simplicial Transformer. Variational Diffusion Autoencoders with Random Walk Sampling. Manifold Learning and Alignment with Generative Adversarial Networks. Poisoning Attacks with Generative Adversarial Nets. Locality and Compositionality in Zero-Shot Learning. Off-Policy Actor-Critic with Shared Experience Replay. Unsupervised Learn …
Paper Group NANR 18

Paper Group NANR 18

April 1, 2020

Learning to Guide Random Search. Bio-Inspired Hashing for Unsupervised Similarity Search. Detecting malicious PDF using CNN. DeepV2D: Video to Depth with Differentiable Structure from Motion. Unsupervised Data Augmentation for Consistency Training. A Learning-based Iterative Method for Solving Vehicle Routing Problems. Improved Training Techniques …
Paper Group NANR 19

Paper Group NANR 19

April 1, 2020

Star-Convexity in Non-Negative Matrix Factorization. Domain Adaptive Multiflow Networks. Connectivity-constrained interactive annotations for panoptic segmentation. Learning to Move with Affordance Maps. AdvCodec: Towards A Unified Framework for Adversarial Text Generation. Multi-task Network Embedding with Adaptive Loss Weighting. OPTIMAL TRANSPOR …
Paper Group NANR 2

Paper Group NANR 2

April 1, 2020

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. VAENAS: Sampling Matters in Neural Architecture Search. Contextual Temperature for Language Modeling. Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction. Flexible and Efficient Long-Range Plannin …
Paper Group NANR 20

Paper Group NANR 20

April 1, 2020

Training individually fair ML models with sensitive subspace robustness. Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. Effort-value payoff in lemmatisation for Uralic languages. Proceedings of the Sixth International Workshop on Computational Linguistics of Uralic Languages. Removing the Representation Error of GAN …
Paper Group NANR 21

Paper Group NANR 21

April 1, 2020

Policy Optimization by Local Improvement through Search. Anchor & Transform: Learning Sparse Representations of Discrete Objects. Low Bias Gradient Estimates for Very Deep Boolean Stochastic Networks. Learning General and Reusable Features via Racecar-Training. Attention Forcing for Sequence-to-sequence Model Training. Stabilizing DARTS with Amende …
Paper Group NANR 22

Paper Group NANR 22

April 1, 2020

Generating Biased Datasets for Neural Natural Language Processing. Conditional generation of molecules from disentangled representations. Shallow VAEs with RealNVP Prior Can Perform as Well as Deep Hierarchical VAEs. On PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature. Laconic Image Classification: Human vs. Machine Performance. A …
Paper Group NANR 23

Paper Group NANR 23

April 1, 2020

Towards Stable and Efficient Training of Verifiably Robust Neural Networks. Generating Dialogue Responses From A Semantic Latent Space. Walking on the Edge: Fast, Low-Distortion Adversarial Examples. Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. Automatically Learning Feature Crossing from Mode …
Paper Group NANR 24

Paper Group NANR 24

April 1, 2020

Statistical Adaptive Stochastic Optimization. Learning to Control PDEs with Differentiable Physics. NADS: Neural Architecture Distribution Search for Uncertainty Awareness. Neural Architecture Search by Learning Action Space for Monte Carlo Tree Search. Computation Reallocation for Object Detection. BANANAS: Bayesian Optimization with Neural Networ …
Paper Group NANR 25

Paper Group NANR 25

April 1, 2020

GRASPEL: GRAPH SPECTRAL LEARNING AT SCALE. Neural Networks for Principal Component Analysis: A New Loss Function Provably Yields Ordered Exact Eigenvectors. AMRL: Aggregated Memory For Reinforcement Learning. Adjustable Real-time Style Transfer. Counterfactuals uncover the modular structure of deep generative models. Semi-Implicit Back Propagation. …
Paper Group NANR 26

Paper Group NANR 26

April 1, 2020

Evaluations and Methods for Explanation through Robustness Analysis. Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms. Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks. TOWARDS FEATURE SPACE ADVERSARIAL ATTACK. Credible Sample Elicitation by Deep Learning, for Deep Learn …
Paper Group NANR 27

Paper Group NANR 27

April 1, 2020

BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation. WHAT DATA IS USEFUL FOR MY DATA: TRANSFER LEARNING WITH A MIXTURE OF SELF-SUPERVISED EXPERTS. Siamese Attention Networks. Mixture Density Networks Find Viewpoint the Dominant Factor for Accurate Spatial Offset Regression. MULTI-STAGE INFLUENCE FUNCTION. GraphMix: Regularized Tr …
Paper Group NANR 28

Paper Group NANR 28

April 1, 2020

CRAP: Semi-supervised Learning via Conditional Rotation Angle Prediction. The Surprising Behavior Of Graph Neural Networks. INTERNAL-CONSISTENCY CONSTRAINTS FOR EMERGENT COMMUNICATION. Improving Dirichlet Prior Network for Out-of-Distribution Example Detection. Negative Sampling in Variational Autoencoders. Global reasoning network for image super- …
Paper Group NANR 29

Paper Group NANR 29

April 1, 2020

OvA-INN: Continual Learning with Invertible Neural Networks. Building Deep Equivariant Capsule Networks. Beyond Classical Diffusion: Ballistic Graph Neural Network. Masked Translation Model. Unsupervised Video-to-Video Translation via Self-Supervised Learning. Progressive Knowledge Distillation For Generative Modeling. Semi-Supervised Few-Shot Lear …
Paper Group NANR 3

Paper Group NANR 3

April 1, 2020

Global Adversarial Robustness Guarantees for Neural Networks. Ternary MobileNets via Per-Layer Hybrid Filter Banks. Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. Robust Instruction-Following in a Situated Agent via Transfer-Learning from Text. Learning to Reason: Distilling Hierarchy via Self-Supervision and Rei …
Paper Group NANR 30

Paper Group NANR 30

April 1, 2020

Parallel Scheduled Sampling. OBJECT-ORIENTED REPRESENTATION OF 3D SCENES. HaarPooling: Graph Pooling with Compressive Haar Basis. Meta-Q-Learning. Towards Understanding the Transferability of Deep Representations. Switched linear projections and inactive state sensitivity for deep neural network interpretability. Stochastically Controlled Compositi …
Paper Group NANR 31

Paper Group NANR 31

April 1, 2020

Encoding word order in complex embeddings. Model Inversion Networks for Model-Based Optimization. Efficient generation of structured objects with Constrained Adversarial Networks. A Simple Dynamic Learning Rate Tuning Algorithm For Automated Training of DNNs. DDSP: Differentiable Digital Signal Processing. FRICATIVE PHONEME DETECTION WITH ZERO DELA …
Paper Group NANR 32

Paper Group NANR 32

April 1, 2020

Shape Features Improve General Model Robustness. Deep Network classification by Scattering and Homotopy dictionary learning. HUBERT Untangles BERT to Improve Transfer across NLP Tasks. Deeper Insights into Weight Sharing in Neural Architecture Search. DyNet: Dynamic Convolution for Accelerating Convolution Neural Networks. A Simple Geometric Proof …
Paper Group NANR 33

Paper Group NANR 33

April 1, 2020

Pay Attention to Features, Transfer Learn faster CNNs. Identifying Weights and Architectures of Unknown ReLU Networks. GRAPHS, ENTITIES, AND STEP MIXTURE. An Empirical Study on Post-processing Methods for Word Embeddings. GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modelling. On the …
Paper Group NANR 34

Paper Group NANR 34

April 1, 2020

Prestopping: How Does Early Stopping Help Generalization Against Label Noise?. Transferring Optimality Across Data Distributions via Homotopy Methods. Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. Coloring graph neural networks for node disambiguation. SMiRL: Surprise Minimizing RL in Entropic Environments. Vis …